Lead Al Engineer

Cornerstone Research; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cornerstone seeks a Lead AI Engineer in Hyderabad to architect, build, and scale enterprise AI infrastructure. You will focus on Retrieval-Augmented Generation, LLM gateways, and agentic workflows, ensuring robust data pipelines integrated with AWS cloud services.

You will mentor teams, drive scalable design patterns, and implement standardized protocols to enable reliable JSON outputs for downstream applications.

Qualifications

• 5-8 years of professional software engineering experience.
• Hands-on expertise in Java and the Spring Boot framework.
• Strong knowledge of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
• Experience with AWS cloud services and containerized deployments.

Responsibilities

• AI Architecture & Strategy: Lead the architectural oversight and technical direction for content ingestion and enrichment pipelines.
• RAG & LLM Integration: Design, deploy, and optimize RAG frameworks and centralized LLM gateways.
• Agentic Workflows: Build and orchestrate multi-agent platforms and workflows.
• Protocol Implementation: Drive the ModelContext Protocol standardization to streamline interactions between foundation models and enterprise systems.
• Data Pipeline Engineering: Architect reliable LLM generation pipelines with strict JSON-based validation.
• Technical Leadership & System Design: Mentor teams and guide deployment planning across cloud environments.

Skills

Java

Spring Boot

Python

PostgreSQL

MySQL

MongoDB

AWS

Design Patterns

LLM Integration

RAG

Tools

AWS

PostgreSQL

MongoDB

Spring Boot

Job description

We're looking for a

Lead AI Engineer

Job Title:Lead AI Engineer

Location:Hyderabad

About theRole:

We are seeking an experienced Lead AI Engineerto architect, develop, and scale our enterprise AI infrastructure and contentprocessing pipelines. You will lead the technical design of AI systems,focusing on Retrieval-Augmented Generation (RAG) frameworks, LLM gateways, andintelligent agentic workflows. As a technical leader, you will ensure our AIdata pipelines are robust, highly structured, and seamlessly integrated intoour AWS cloud ecosystem.

In this role you will...

• AIArchitecture & Strategy: Lead the architectural oversight andtechnical direction for content ingestion and enrichment pipelines,ensuring scalable and efficient AI integrations.


• RAG& LLM Integration: Design, deploy, and optimize advancedRetrieval-Augmented Generation (RAG) frameworks and centralized LLMgateways.


• AgenticWorkflows: Build and orchestrate multi-agentplatforms and workflows using modern AI integration frameworks.


• ProtocolImplementation: Drive the implementation of ModelContext Protocol (MCP) to standardize and streamline interactions betweenfoundation models and enterprise backend systems.


• DataPipeline Engineering: Architect highly reliable LLM generationpipelines, enforcing strict structured JSON outputs to guarantee schemavalidation and application parsing stability.


• TechnicalLeadership & System Design: Mentor engineering teams, applybest-in-class software design patterns, and guide infrastructuredeployment planning across cloud environments.

You'vegot what it takes if you have…

• Experience: 5-8years of professional software engineering experience, with a proven trackrecord of designing and deploying enterprise-grade systems and AIplatforms.


• Programming& Frameworks (Mandatory): Deep, hands-on expertise in Java and the Spring / Spring Boot framework.


• Good working knowledge of Python is also required for AI/ML integrations and scripting.


• DatabaseExpertise (Mandatory): Strong knowledge of both relationaldatabases (RDBMS such as PostgreSQL or MySQL) and NoSQL databases,specifically MongoDB.


• DesignPatterns (Mandatory): Extensive knowledge of object-orienteddesign, architectural design patterns, and enterprise integration patternsfor building scalable, decoupled systems.


• CloudInfrastructure (Mandatory): Hands-on experience with AWS cloud services, including the deployment, scaling, and management ofcontainerized applications and data pipelines.


• AI/MLExpertise: Practical experience building scalableRAG applications, vector search optimizations, and LLM orchestrationlayers.


• DataEngineering: Proven ability to build resilient dataingestion workflows with a strong emphasis on JSON-based structured datavalidation over legacy text formats.

Good to have skills...

• Familiaritywith enterprise AI toolkits (such as Google ADK).


• Experiencemanaging regional infrastructure rollouts and navigating modelavailability constraints across different deployment stages.

Our Culture:

Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now - is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone - anywhere - to learn, grow and advance. To be better tomorrow than they are today.

Who We Are:

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.